Automating the Addiction Behaviors Checklist for Problematic Opioid Use Identification
This automated data extraction technique may facilitate earlier identification of people at risk for and who are experiencing problematic opioid use, and create new opportunities for studying long-term sequelae of opioid pain management.
Authors
- Alvin D. Jeffery (ORCID: https://orcid.org/0000-0003-2797-6508)
- David C. Samuels (ORCID: https://orcid.org/0000-0003-3529-7791)
- Lori Schirle (ORCID: https://orcid.org/0000-0003-2551-019X)
- Sandra Sanchez‐Roige (ORCID: https://orcid.org/0000-0001-6137-5699)
- Angus H. Chatham (ORCID: https://orcid.org/0000-0002-2036-2979)
- Donielle Beiler (ORCID: https://orcid.org/0000-0002-4570-631X)
- Vanessa Troiani (ORCID: https://orcid.org/0000-0001-6689-8157)
- Parker Christy
- Eli D. Bradley
Institutions
- Vanderbilt University (US)
- University of California San Diego (US)
- Geisinger Commonwealth School of Medicine (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- JAMA Psychiatry
- Published
- 2025-04-09
- DOI
- https://doi.org/10.1001/jamapsychiatry.2025.0424
- Citations
- 1
- Primary Topic
- Opioid Use Disorder Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.88